| # | NAME | FOLLOWERS | ER | COUNTRY | TOPIC OF INFLUENCE | ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ |
|---|---|---|---|---|---|---|---|
| 1 |
Toni Kroos
|
49.6M
|
0.61%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 2 |
Mesut Özil
|
27.5M
|
0.73%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 3 |
Younes Zarou
|
25.2M
|
1.48%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 4 |
lena mantler
|
20.2M
|
0.08%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 5 |
Mahnaz Afshar
|
18.9M
|
0.82%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 6 |
Bastian Schweinsteiger
|
16.8M
|
0.15%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 7 |
Marco Reus
|
14.9M
|
0.41%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 8 |
Thomas Müller
|
14.8M
|
0.38%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 9 |
Manuel Neuer
|
14.4M
|
0.5%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 10 |
Heidi Klum
|
12.8M
|
0.23%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 11 |
JADE ŞEN
|
12M
|
0.92%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 12 |
Thiago Alcantara
|
11.5M
|
0.41%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 13 |
Ilkay Gündogan
|
9.7M
|
2.97%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 14 |
Sami Khedira
|
9.6M
|
0.04%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 15 |
Leroy Sané
|
9.1M
|
5.03%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 16 |
Mario Maurer
|
9.1M
|
0.74%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 17 |
Pamela Reif
|
8.9M
|
0.4%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 18 |
Philipp Lahm
|
8.6M
|
0.16%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 19 |
meryemuzerlimeryem
|
7.9M
|
1.14%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 20 |
MARIO GÖTZE
|
7.7M
|
0.39%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 21 |
Anna Schneider \ Prohodski💍
|
7.4M
|
2.26%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 22 |
DFB-Team
|
7.2M
|
0.41%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 23 |
Barbara Shirin Davidavicius
|
6.6M
|
0.91%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 24 |
Kai Havertz 💥⚽️✌🏼
|
6M
|
4.34%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 25 |
Lukas Podolski
|
5.7M
|
0.33%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 26 |
P A O L A M A R I A
|
5.7M
|
0.23%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 27 |
Dennis Schröder
|
5.5M
|
1.35%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 28 |
Alica Ѕchmidt | Olympian
|
5.5M
|
4.29%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 29 |
Hakan Çalhanoglu
|
5.3M
|
2.61%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 30 |
Mats Hummels
|
5.1M
|
0.68%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 31 |
TONI GARRN
|
5M
|
0.04%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 32 |
Julian Draxler
|
5M
|
0.5%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 33 |
𝐑 𝐮 𝐝 𝐲 𝐁 𝐮 𝐧 𝐝 𝐢 𝐧 𝐢
|
4.8M
|
1.87%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 34 |
Bayer 04 Leverkusen
|
4.6M
|
0.07%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 35 |
Marcus Butler
|
4.6M
|
0.05%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 36 |
Caroline Daur
|
4.6M
|
0.48%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 37 |
Max Haase - German Travel Influencer 🇩🇪
|
4.2M
|
1.34%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 38 |
Katja Krasavice
|
4.2M
|
5.65%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 39 |
Julia Willecke
|
4.1M
|
2.66%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 40 |
Randeep Hooda
|
4M
|
2.75%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 41 |
Fatma Kaya
|
3.9M
|
6.48%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 42 |
Capital Bra
|
3.8M
|
1.81%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 43 |
RAFINHA
|
3.8M
|
0.75%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 44 |
Mirko | Travel, Lifestyle & Automotive
|
3.7M
|
1.24%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 45 |
Tim | a living meme
|
3.5M
|
3.87%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 46 |
Lena Gercke
|
3.3M
|
0.35%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 47 |
Jeremy Fragrance
|
3.3M
|
0.04%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 48 |
LIONT
|
3.3M
|
0.4%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 49 |
SARA ADRIAN
|
3.2M
|
1.26%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 50 |
Palina Rojinski
|
3.2M
|
0.27%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 51 |
XLAETA | Julia
|
3.1M
|
1.23%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 52 |
TONI MAHFUD†
|
3.1M
|
0.58%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 53 |
Amin Fardin - امین فردین 🇩🇪🇮🇷
|
3M
|
2.96%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 54 |
Elyas M'Barek
|
2.9M
|
2.3%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 55 |
Areeba Habib
|
2.9M
|
0.38%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 56 |
Serge Gnabry
|
2.8M
|
4.08%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 57 |
Home workout Losweight
|
2.8M
|
0.03%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 58 |
Janet Dannehl - Luxury Travel & Adventure 🌍
|
2.8M
|
1.54%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 59 |
𝗙𝗮𝗿𝗶𝗱 𝗕𝗮𝗻𝗴
|
2.7M
|
1.18%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 60 |
7 Sekunden Videos
|
2.7M
|
2.06%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 61 |
Asemaneh Rabiei
|
2.7M
|
0.5%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 62 |
Mr. boris becker
|
2.6M
|
0.43%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 63 |
Sally Fouad | سالي فؤاد
|
2.6M
|
0.3%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 64 |
Amal Jaderani Pour
|
2.6M
|
6.17%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 65 |
𝐈 𝐊 𝐎 Ş
|
2.6M
|
0.67%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 66 |
Timo Werner
|
2.5M
|
3.19%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 67 |
Felix von der Laden
|
2.5M
|
0.88%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 68 |
JIHOON KIM (지훈이 ₊˚⊹♡)
|
2.5M
|
3%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 69 |
Leon Goretzka
|
2.4M
|
2.2%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 70 |
Fanar kheder
|
2.4M
|
13.7%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 71 |
ZDF heute-show
|
2.3M
|
0.93%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 72 |
TAREK AL BASHA
|
2.3M
|
1.36%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 73 |
Alexander Zverev
|
2.3M
|
1.26%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 74 |
Daniela Katzenberger
|
2.3M
|
1.41%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 75 |
𝗦𝗲𝘃𝗱𝗮 Ç𝗲𝗹𝗶𝗸
|
2.3M
|
1.06%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 76 |
Amine Harit
|
2.3M
|
1.64%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 77 |
Sohi Malih
|
2.2M
|
0.48%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 78 |
Anna Maria Damm
|
2.2M
|
0.66%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 79 |
Stefano Zarrella
|
2.2M
|
0.93%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 80 |
NADER JINDAOUI
|
2.2M
|
17.63%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 81 |
Vanessa Reinhardt
|
2.1M
|
1.8%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 82 |
NICO ROSBERG
|
2.1M
|
3.29%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 83 |
Claudia Schiffer
|
2.1M
|
2.28%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 84 |
𝒜𝓁𝑒𝓃𝒶
|
2.1M
|
6.55%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 85 |
Pietro Lombardi
|
2M
|
2.57%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 86 |
Achim Oecal
|
2M
|
1.17%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 87 |
Ivana Santacruz
|
2M
|
2.18%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 88 |
Mehdi Mahdavikia
|
2M
|
6%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 89 |
Ischtar Isik
|
1.9M
|
1.42%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 90 |
Jessy Hartel
|
1.9M
|
7.94%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 91 |
Jens 'Knossi' Knossalla
|
1.9M
|
1.83%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 92 |
N I L S K U E S E L 🕸️
|
1.9M
|
8.88%
|
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | |
| 93 |
Sarah Engels
|
1.9M
|
0.68%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 94 |
⠀⠀J A C O B R O T T 🏝
|
1.8M
|
6.91%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 95 |
Travel & Landscape - Photography
|
1.8M
|
0.94%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 96 |
Hannes Becker
|
1.8M
|
0.3%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 97 |
Joyce Ilg
|
1.8M
|
0.17%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 98 |
Kontra K
|
1.8M
|
3.24%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 99 |
Bundeskanzlerin a.D. Merkel
|
1.8M
|
3.75%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ | ||
| 100 |
🐺🖤
|
1.8M
|
1.6%
|
ᎠᏕᎳ ᎠᏎᏃᏙᏗᎢ | ᎠᎵᏍᎪᎸᏙᏗ ᎢᏳᏍᏗ ᎪᏪᎶᏒᎢ |
The German influencer marketing landscape has evolved into a powerful ecosystem that connects brands with diverse audiences across the country. With over 68 million internet users and 91% social media penetration, Germany represents one of Europe's most valuable influencer markets. As brands seek authentic ways to reach German consumers, understanding the nuances of this market—from top creators to platform preferences and compensation models—has become essential for effective campaigns.
This comprehensive guide examines Germany's influencer ecosystem, identifies the country's most impactful creators across niches, and provides actionable insights for brands looking to leverage influencer partnerships in this sophisticated market.
German Influencer Marketing Market Value
Social Media Penetration
Consumers Trust Influencer Recommendations
The German market stands out for its regulatory framework and audience preferences. Unlike markets that prioritize aspirational content, German audiences value authenticity, expertise, and transparency. This cultural nuance shapes how influencers operate and how brands should approach partnerships in this region.
The top platform for German influencers with 89% of internet users accessing it monthly. German YouTube stars often build sustainable businesses through long-form content.
76% of German internet users are active on Instagram, making it the primary platform for lifestyle, fashion, and travel influencers in Germany.
Rapidly growing with 38% of Germans using the platform. Particularly strong among Gen Z audiences and increasingly important for brand campaigns.
Germany's influencer ecosystem spans diverse niches catering to specific audience interests. Here's a breakdown of the country's most influential content creators by category:
1,000-10,000 followers
€100-€500
Per Instagram post
Average engagement: 4-7%
10,000-50,000 followers
€500-€2,000
Per Instagram post
Average engagement: 2.5-5%
50,000-500,000 followers
€2,000-€10,000
Per Instagram post
Average engagement: 1.5-3%
500,000+ followers
€10,000-€50,000+
Per Instagram post
Average engagement: 1-2%
The German influencer market typically commands higher prices compared to many European markets, particularly for specialized niches. Notably, German audiences place significant value on authenticity and expertise, which means micro and mid-tier influencers often deliver stronger conversion rates than celebrities.
Germany has some of Europe's strictest disclosure requirements for influencer marketing, making compliance essential for both brands and creators:
Working with knowledgeable German legal experts before campaign launch is strongly recommended, as regulations continue to evolve through court precedents.
German audiences engage differently across platforms:
The German approach to influencer collaboration:
German campaign metrics to track:
Key cultural nuances:
German consumers increasingly expect seamless shopping experiences directly from creator content. Platforms are responding with enhanced shop features, and brands seeking higher conversions must prioritize frictionless purchase journeys.
Environmental consciousness is particularly strong among German consumers. Creators focusing on sustainable practices, ethical production, and transparent supply chains are gaining significant audience trust and brand partnership opportunities.
German brands are increasingly using AI tools to identify ideal influencer matches, analyze audience overlap, and predict campaign performance. This data-driven approach is optimizing marketing budgets and improving ROI measurement.
The German influencer landscape offers tremendous opportunities for brands willing to invest in understanding its unique characteristics. With its robust regulatory framework, sophisticated audience preferences, and diverse creator ecosystem, Germany represents one of Europe's most valuable influencer marketing territories.
Success in this market requires brands to prioritize authenticity, build genuine relationships with creators, and develop content that provides real value to German audiences. By focusing on these elements—rather than one-off transactional posts—brands can build meaningful connections with German consumers through trusted influencer partnerships.
As the German influencer ecosystem continues to evolve, brands that combine data-driven campaign planning with cultural sensitivity will achieve the best results. Whether partnering with mega-stars like Pamela Reif or engaging with niche micro-influencers, the key to success lies in understanding the German preference for substance, transparency, and genuine creator-brand alignment.
Ready to launch impactful influencer campaigns in Germany and beyond? StarNgage's all-in-one AI-powered creator suite helps you discover, connect with, and measure the perfect influencer partnerships for your brand. Our platform provides deep insights into creator audiences, engagement metrics, and campaign performance—all essential elements for success in the sophisticated German market.
Sign up today to access our comprehensive database of vetted German influencers across all major platforms and niches. Contact us to learn how our industry-leading tools can streamline your influencer marketing strategy and deliver measurable results for your brand.